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solution to carbon capture. During the Villum P2X Accelerator, we will focus on optimizing energy efficiency, designing a prototype, testing it with industrial partners using real flue gas, and scaling
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related area (mandatory). Ability to independently conduct liquid chromatography-mass spectrometry (LC-MS)-based peptide analysis/proteomics, including proficiency in related data processing software
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design of study, selecting the best data for execution, performing and reporting analyses. This requires that you are able to work independently and have a desire to seek out and test the most suitable
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, scipy, scikit-learn, pytorch, pytorch geometric, etc.). Proficiency in statistics and graph machine learning, including the ability to build and deploy models, and evaluate their performance. Software
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the microscope, test it and apply it to various complex oxides at different twist angles to better understand their properties. Responsibilities and qualifications The overall aim of this project is to
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interest in pursuing applied research in computer vision and deep learning with a focus on wind energy application. Proven experience with computer vision tool/software development using Python and/or Matlab
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development as well as field data collection at multiple test sites in Ethiopia. Job assignments The successful candidate will join a large, collaborative team of researchers with expertise in electromagnetic